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Guido Cervone, PhD

    • 1377 Citations
    • 20 h-Index
    20002020
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    Fingerprint Dive into the research topics where Guido Cervone is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    remote sensing Earth & Environmental Sciences
    Remote sensing Engineering & Materials Science
    earthquake Earth & Environmental Sciences
    latent heat flux Earth & Environmental Sciences
    Learning systems Engineering & Materials Science
    hurricane Earth & Environmental Sciences
    anomaly Earth & Environmental Sciences
    Evolutionary algorithms Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2000 2020

    1 Citation (Scopus)

    Using the analog ensemble method as a proxy measurement for wind power predictability

    Shahriari, M., Cervone, G., Clemente-Harding, L. & Delle Monache, L., Feb 1 2020, In : Renewable Energy. 146, p. 789-801 13 p.

    Research output: Contribution to journal › Article

    Wind power
    Farms
    Risk analysis
    Electricity
    Uncertainty

    Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event

    Yang, L. & Cervone, G., Dec 1 2019, In : Soft Computing. 23, 24, p. 13393-13408 16 p.

    Research output: Contribution to journal › Article

    Flooding
    Disaster
    Remote Sensing
    Disasters
    Learning systems
    1 Citation (Scopus)

    Comparison of simulated radioactive atmospheric releases to citizen science observations for the Fukushima nuclear accident

    Hultquist, C. & Cervone, G., Feb 1 2019, In : Atmospheric Environment. 198, p. 478-488 11 p.

    Research output: Contribution to journal › Article

    nuclear accident
    aerial survey
    citizen
    science
    comparison

    Dynamically Optimized Unstructured Grid (DOUG) for Analog Ensemble of numerical weather predictions using evolutionary algorithms

    Hu, W. & Cervone, G., Dec 1 2019, In : Computers and Geosciences. 133, 104299.

    Research output: Contribution to journal › Article

    Evolutionary algorithms
    weather
    prediction
    Computational efficiency
    wind velocity

    Expanded dimensionality for image spectroscopy via machine learning

    Salvador, M., Cervone, G. & Xu, F., Jan 1 2019, p. 148-152. 5 p.

    Research output: Contribution to conference › Paper

    Radiance
    radiance
    Dimensionality
    Spectroscopy
    Machine Learning